Job Overview
QUANTITATIVE — Credit Intelligence & Portfolio Optimization
Location: Kuwait City, Kuwait
Seniority Level: Senior Quantitative Specialist
Employment Type: Full-time, Permanent
Industry Focus: Fintech, Credit Technology, Quantitative Finance, Risk Analytics, Financial Data Science
Quantitative Mission
We are seeking a highly analytical Quantitative professional to develop mathematical and statistical frameworks for digital-credit decisioning and portfolio optimization.
The position is designed for someone comfortable working with probability, statistical inference, predictive modelling and large financial datasets, with a clear understanding that quantitative models must ultimately improve real-world financial decisions.
Responsibilities
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Develop predictive models for credit performance and portfolio behaviour.
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Build statistical frameworks for customer-level credit assessment.
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Analyse historical transaction and repayment data.
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Develop probability-of-default and portfolio-performance methodologies.
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Conduct model validation, back-testing and sensitivity analysis.
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Develop forecasting models for credit demand and portfolio performance.
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Identify variables associated with changing customer repayment behaviour.
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Build analytical frameworks for customer segmentation.
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Collaborate with data scientists and engineers to deploy quantitative models.
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Monitor model performance and identify deterioration in predictive accuracy.
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Conduct scenario analysis and portfolio stress testing.
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Develop quantitative recommendations for credit-product optimization.
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Translate complex statistical findings into clear management recommendations.
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Maintain rigorous documentation of methodologies, assumptions and limitations.
Qualifications
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Master’s degree or PhD in Mathematics, Statistics, Econometrics, Economics, Finance, Physics, Data Science or a related quantitative field preferred.
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4+ years of quantitative modelling experience in fintech, banking, credit or financial analytics.
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Advanced Python and SQL capabilities.
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Strong knowledge of statistical modelling and machine learning.
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Experience with credit-risk analytics or portfolio modelling.
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Strong understanding of model validation and performance measurement.
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Excellent analytical and communication skills.
Quantitative Toolkit
Credit Modelling • Probability • Statistics • Python • SQL • Predictive Analytics • Portfolio Optimization • Forecasting • Stress Testing • Model Validation
Analytical Standard
The role demands more than numerical sophistication. The successful Quantitative professional must demonstrate the ability to convert mathematical evidence into commercially useful credit decisions while maintaining model discipline and analytical transparency.
Don’t miss the chance to make a difference in the fintech and FX industry!
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